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Performance of colorimetric reverse transcription loop-mediated isothermal amplification as a diagnostic tool for SARS-CoV-2 infection during the fourth wave of COVID-19 in Thailand

  • Thanyarat Promlek
  • , Maytawan Thanunchai
  • , Uraporn Phumisantiphong
  • , Tonsan Hansirisathit
  • , Chayanit Phuttanu
  • , Sunisa Dongphooyao
  • , Wipawee Thongsopa
  • , Pornlada Nuchnoi
  • Vajira Hospital

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

Background: COVID-19, which is caused by SARS-CoV-2 and its variants, poses an ongoing global threat, particularly in low-immunization coverage regions. Thus, rapid, accurate, and easy-to-perform diagnostic methods are in urgent demand to halt the spread of the virus. Objectives: We aimed to validate the clinical performance of the FastProof 30 min-TTR SARS-CoV-2 reverse transcription loop-mediated isothermal amplification (RT-LAMP) method using leftover RNA samples extracted from 315 nasopharyngeal swabs. The sensitivity and specificity of RT-LAMP were determined in comparison with reverse transcriptase–polymerase chain reaction (RT-PCR). Results: Of 315 nasopharyngeal swabs, viral RNA was detected in 154 samples (48.9%) by RT-PCR assay. Compared with RT-PCR, overall sensitivity and specificity of RT-LAMP were 81.82% (95% CI: 74.81–87.57) and 100% (95% CI: 97.73–100), respectively. A 100% positivity rate was achieved in samples with cycle threshold (Ct) <31 for RT-PCR targeting the ORF1ab gene. However, samples with Ct >31 accounted for false-negative results by RT-LAMP in 28 samples. Conclusions: RT-LAMP reliably detected viral RNA with high sensitivity and specificity and has potential application for mass screening of patients with acute COVID-19 infection when viral load is high.

Original languageEnglish
Pages (from-to)133-137
Number of pages5
JournalInternational Journal of Infectious Diseases
Volume116
DOIs
Publication statusPublished - Mar 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • COVID-19
  • Colorimetric RT-LAMP
  • RT-PCR
  • Sensitivity
  • Specificity

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